This is a hybrid position, currently requiring a minimum of two days per week onsite at our office located at 2 Queen St. E in Toronto, ON.
TripArc is building an AI-powered vacations booking platform that will put 10,000 pre-packaged, instantly bookable itineraries in the hands of North American travel advisors.
The work spans both greenfield and existing platform in equal measure. You'll be building new Angular MFEs, AI agent pipelines, and integrating with MongoDB-backed catalog infrastructure for the Vacations Platform, while extending and integrating with the mature ADX booking platform and the new Product Builder that sits alongside it. We need people who can hold both contexts without losing altitude.
Whichever track you're in, you own your work end-to-end: design through deployment, in close collaboration with Product, QA, and your pod.
We expect every developer on this team to use AI coding tools — GitHub Copilot, Claude, Cursor, whatever fits your flow — as a standard part of how you develop. Not as an experiment, and not as a replacement for engineering judgment. We move faster because of these tools, and we ship with confidence because of the quality gates, code review culture, and testing discipline that sit alongside them.
If you've figured out how to get real leverage from AI-assisted development without cutting corners on quality, you'll fit right in here.
You move across the stack without losing altitude — Angular MFE one moment, .NET microservice the next, event-sourced aggregate after that. Our microservices follow a Vertical Event Sourcing Architecture (VESA): DDD bounded contexts, CQRS split by responsibility, and Postgres-backed event streams via Marten and Wolverine.
Azure Cloud · .NET Core microservices · Angular MFEs · React · Next.js · MongoDB Atlas · SQL Server · NServiceBus · Redis · GraphQL Azure Service Bus · RabbitMQ · Docker / Kubernetes · Azure Pipelines · Cloudinary · Contentful · Figma · JIRA · Confluence
Why This Role The ADX Vacations Platform targets significant revenue in the form of gross bookings, and this pod is building the core of it. The decisions made now — how the NL Search API works, how the AI agent pipeline scales, how itineraries move from catalog to quote — will define the platform for years. You won't be inheriting someone else's design. You'll be making it.
We provide a competitive compensation package with a strong pay-for-performance rewards approach. Employees have the opportunity to participate in incentive programs and compensation tied to business and individual performance. The expected base compensation range for this position is: $115,000 to $125,000 CAD.
The actual compensation may vary depending on local market conditions, geography, and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. #LI-Hybrid
We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.
Interested in this role?